An effective classification procedure for diagnosis of prostate cancer in near infrared spectra

Interstitial assessment of aggressive prostate cancer by physio‐chemical photoacoustics: An ex vivo study with intact human prostates

“…The midband‐fits, i.e., the PA signal magnitudes, at 700 nm of the aggressive cancerous tissues demonstrate no significant difference. Such observation agrees with a previous study . The slopes at all the three wavelengths decreased in aggressive cancer regions, which also agree with the histology in Fig.…”

“…Such observation agrees with a previous study. 26 The slopes at all the three wavelengths decreased in aggressive cancer regions, which also agree with the histology in Fig. 5.…”

“…In our previous study, the PA spectral parameters showed strong correlation with the Gleason scores in human prostate cancer tissues 19 and the vasculature densities in xenograft prostate cancer tumors in mice. 20 Other studies implementing optical modalities including PA imaging have also demonstrated the changes of molecular components such as lipid, 21,22 collagen 23-25 and hemoglobin 21,22,26 in prostate cancer tissue.…”

Raman Spectroscopy: A Novel Experimental Approach to Evaluating Renal Tumours

“…To ensure all spectra were comparable, a normalization step was performed by dividing every spectral point by the area of the total intensity of the spectrum [10].…”

Biodiesel classification by base stock type (vegetable oil) using near infrared spectroscopy data

“…[3] for additional references). When associated with multivariate data analysis (MDA) [35][36][37][38][39][40], vibrational spectroscopic techniques (IR, NIR, and Raman) [1,[35][36][37] have proven to be powerful tools in the analysis of a variety of fuel samples, including gasoline, diesel, alcohol fuel (ethanol-gasoline mixtures [41,42]), and kerosene (jet fuel) [43]. Vibrational spectroscopic techniques are faster than the usual (ASTM) techniques in the analysis of petroleum refining and petrochemical products [22,23,44,45]; in addition, these methods demonstrate good accuracy and precision, are non-destructive, and can be used in remote quality control [3,12].…”